Josh Dillon, Last Revised January 2022
This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "54"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = os.environ["ANTENNA"]
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')
antenna = "189" csv_folder = "/home/obs/src/H5C_Notebooks/_rtp_summary_" auto_metrics_folder = "/home/obs/src/H5C_Notebooks/auto_metrics_inspect"
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, '*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')
Found 75 csvs in /home/obs/src/H5C_Notebooks/_rtp_summary_ Found 71 auto_metrics notebooks in /home/obs/src/H5C_Notebooks/auto_metrics_inspect
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0
def jd_to_summary_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H5C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'
def jd_to_auto_metrics_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H5C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'
this_antenna = None
jds = []
# parse information about antennas and nodes
for csv in csvs:
df = pd.read_csv(csv)
for n in range(len(df)):
# Add this day to the antenna
row = df.loc[n]
antnum = row['Ant']
if antnum != int(antenna):
continue
if this_antenna is None:
this_antenna = Antenna(row['Ant'], row['Node'])
jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
jds.append(jd)
this_antenna.add_day(jd, row)
break
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]
df = pd.DataFrame(to_show)
# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
df[col] = bar_cols[col]
z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
df[col] = z_score_cols[col]
ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
df[col] = ant_metrics_cols[col]
redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]
for col in redcal_cols:
df[col] = redcal_cols[col]
# style dataframe
table = df.style.hide_index()\
.applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
.background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
.background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
.applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
.format({col: '{:,.4f}'.format for col in z_score_cols}) \
.format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
.format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
.set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])
This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))
| JDs | A Priori Status | Auto Metrics Flags | Dead Fraction in Ant Metrics (Jee) | Dead Fraction in Ant Metrics (Jnn) | Crossed Fraction in Ant Metrics | Flag Fraction Before Redcal | Flagged By Redcal chi^2 Fraction | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | Average Dead Ant Metric (Jee) | Average Dead Ant Metric (Jnn) | Average Crossed Ant Metric | Median chi^2 Per Antenna (Jee) | Median chi^2 Per Antenna (Jnn) |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2459594 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 2.16% | 30.27% | 0.440364 | -0.008392 | -0.449866 | 1.384387 | -1.001894 | 0.068053 | -0.066023 | 0.612749 | 0.7541 | 0.7645 | 0.3019 | 5.708775 | 4.796477 |
| 2459593 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 4.84% | 14.52% | 1.848311 | 1.375841 | -0.323088 | 1.096857 | -0.834459 | 0.099931 | -0.007423 | -0.029936 | 0.6892 | 0.6844 | 0.2969 | 1.745689 | 1.475627 |
| 2459592 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.326950 | -0.744112 | 0.065185 | -0.686894 | 1.393294 | 2.537667 | 2.232199 | -0.076113 | 0.0337 | 0.0321 | 0.0021 | nan | nan |
| 2459591 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 1.783302 | 1.620308 | 0.469731 | -0.203760 | -0.670923 | 14.138325 | 0.268803 | 0.555141 | 0.6463 | 0.6597 | 0.3974 | 4.783033 | 4.328172 |
| 2459590 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 1.62% | 0.00% | 2.444152 | 1.501515 | 0.308458 | 1.766354 | -1.056578 | 0.787638 | 0.333437 | -0.279942 | 0.6413 | 0.6490 | 0.3984 | 1.398333 | 1.212553 |
| 2459589 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 2.69% | 27.96% | 1.420405 | 1.018879 | 0.027363 | 2.049012 | -0.033763 | 1.614770 | 0.069992 | 0.538192 | 0.6849 | 0.6787 | 0.3192 | 1.574068 | 1.382293 |
| 2459588 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 1.098191 | 1.892444 | -0.569487 | 0.856545 | -0.591293 | 52.470754 | 0.080508 | 1.416672 | 0.7160 | 0.6964 | 0.2843 | 8.024947 | 5.951849 |
| 2459587 | digital_ok | 100.00% | - | - | - | 100.00% | 0.00% | 2.021677 | 1.665973 | 0.757719 | 3.151068 | 0.649980 | 2.561047 | 0.375163 | 0.205987 | nan | nan | nan | 28.002632 | 25.584155 |
| 2459586 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 5.41% | 12.97% | 1.130870 | 0.183638 | 0.823825 | -0.642047 | 0.162500 | 1.468886 | 0.656410 | -0.041170 | 0.6493 | 0.6590 | 0.3728 | 1.377451 | 1.366517 |
| 2459585 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 5.758159 | -0.448296 | 1.776215 | 0.112515 | 2.676073 | 2.970319 | 6.936746 | 0.572965 | 0.0367 | 0.0313 | 0.0028 | 0.000000 | 0.000000 |
| 2459584 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 19.370099 | 19.138724 | 6.212853 | 7.292196 | 4.131056 | 18.441595 | -0.365855 | -0.301419 | 0.6055 | 0.6228 | 0.3945 | 32.971838 | 26.269567 |
| 2459583 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
| 2459582 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 39.46% | 10.27% | 1.310562 | 1.592580 | 2.014561 | 3.220029 | -0.382844 | -0.105129 | 0.204510 | -1.031426 | 0.6504 | 0.6627 | 0.4117 | 0.980758 | 0.849658 |
| 2459581 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 2.516742 | 1.903018 | 2.732220 | 1.706071 | 0.352993 | 24.051639 | 0.760740 | -0.595593 | 0.6508 | 0.6644 | 0.4107 | 1.670422 | 1.627115 |
| 2459580 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 3.76% | 12.90% | 1.529663 | 0.897285 | 2.258657 | 0.010411 | -0.544217 | 1.639939 | 0.146789 | -0.319692 | 0.6547 | 0.6686 | 0.4051 | 0.884393 | 0.724063 |
| 2459579 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 5.91% | 0.00% | 1.289769 | 1.466127 | 2.838289 | 3.787202 | -0.249608 | 1.891409 | 1.026462 | -0.984649 | 0.6471 | 0.6580 | 0.4102 | 0.388733 | 0.368300 |
| 2459578 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | -0.410514 | 1.382019 | -0.662654 | 1.740676 | 1.305245 | 1.848006 | 10.432079 | -0.329478 | 0.0349 | 0.0330 | 0.0030 | nan | nan |
| 2459577 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 4.32% | 7.03% | 2.224656 | 2.469850 | 2.369263 | 3.561400 | 0.755334 | 1.505459 | 0.466149 | -0.703372 | 0.6497 | 0.6647 | 0.4070 | 0.735031 | 0.626226 |
| 2459576 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
| 2459575 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 4.30% | 95.70% | 1.391985 | 1.178683 | 1.535489 | 2.332889 | 0.756895 | -0.095759 | 2.021121 | 1.772451 | 0.7464 | 0.7455 | 0.3559 | 23.669250 | 24.520210 |
| 2459574 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 11.35% | 2.16% | 1.425609 | 1.674268 | 1.691817 | 2.187902 | 1.080878 | 1.516491 | 0.341897 | -0.676425 | 0.6637 | 0.6744 | 0.4176 | 1.263607 | 1.192103 |
| 2459573 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 1.671691 | 1.896290 | 3.054994 | 4.951015 | 0.348616 | 0.640849 | 0.525013 | -0.384509 | 0.6678 | 0.6821 | 0.4116 | 14.289340 | 11.081895 |
| 2459572 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 27.57% | 8.65% | 1.310217 | 1.767193 | 1.659694 | 2.462196 | 0.253569 | 0.403493 | 1.223221 | -1.388216 | 0.6739 | 0.6880 | 0.4093 | 0.879407 | 0.862931 |
| 2459571 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | -0.896943 | 1.094399 | -0.939845 | 2.326796 | 0.913641 | 12.437881 | 12.790576 | 22.553263 | 0.0354 | 0.0387 | 0.0038 | nan | nan |
| 2459570 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 7.039771 | 4.061502 | 10.753512 | 3.844395 | 6.376013 | 4.224979 | 4.329659 | 2.112341 | 0.6579 | 0.6886 | 0.4011 | 0.000000 | 0.000000 |
| 2459569 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 4.32% | 30.27% | 1.072333 | 1.441065 | 2.178164 | 3.016876 | 2.108354 | 2.267072 | 2.206192 | 2.399831 | 0.7546 | 0.7590 | 0.2557 | 1.866369 | 2.007536 |
| 2459566 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 4.32% | 95.68% | 1.444440 | 1.562574 | 2.593424 | 3.319242 | 0.297325 | 1.120239 | 0.254144 | -0.499869 | 0.6708 | 0.6850 | 0.4222 | 11.728582 | 9.734470 |
| 2459565 | digital_ok | 0.00% | - | - | - | 93.33% | 0.00% | 1.074879 | 1.074879 | 0.972728 | 0.972728 | 0.664032 | 0.664032 | 0.146470 | 0.146470 | nan | nan | nan | 0.000000 | 0.000000 |
| 2459564 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 5.20% | 0.00% | 1.426075 | -0.280658 | 1.097801 | -2.627350 | 2.357538 | 3.426808 | 0.705949 | 0.718128 | 0.6806 | 0.6899 | 0.4192 | 1.851385 | 1.588684 |
| 2459563 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 5.38% | 94.62% | 1.650922 | 1.064608 | 1.560642 | 0.886993 | -0.779731 | 1.944344 | 0.712884 | -0.339835 | 0.6795 | 0.6905 | 0.4138 | 12.020165 | 11.927929 |
| 2459562 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 4.86% | 0.00% | 0.984171 | -0.936049 | 1.549735 | -2.514602 | 0.911262 | -0.895447 | 0.712321 | -0.684886 | 0.6817 | 0.6969 | 0.4099 | 1.943242 | 1.779023 |
| 2459561 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.939523 | -0.409054 | 1.330409 | -1.948638 | 0.575240 | 5.187639 | 0.905793 | 0.984151 | 0.6784 | 0.6947 | 0.4160 | 3.445794 | 3.065594 |
| 2459560 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 4.86% | 7.03% | 1.095876 | -0.505389 | 1.527647 | -1.949280 | 0.855659 | 0.635452 | 0.873444 | 0.495481 | 0.6789 | 0.6917 | 0.4189 | 1.791674 | 1.621350 |
| 2459559 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 5.38% | 1.08% | 1.124425 | -0.672789 | 1.503797 | -2.141796 | 0.675080 | -0.018089 | 0.558401 | -0.785300 | 0.6798 | 0.6947 | 0.4032 | 1.891050 | 1.705304 |
| 2459558 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 7.53% | 6.99% | 1.720452 | 1.744789 | 2.277665 | 3.618058 | -0.610600 | 0.230745 | 0.189609 | -0.376374 | 0.6839 | 0.6933 | 0.4109 | 1.017839 | 0.868704 |
| 2459557 | digital_ok | - | 100.00% | 100.00% | 0.00% | - | - | nan | nan | nan | nan | nan | nan | nan | nan | 0.0320 | 0.0320 | 0.0013 | nan | nan |
| 2459556 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 7.03% | 0.00% | 1.751857 | 2.048452 | 2.450472 | 3.815426 | 0.635497 | 0.769088 | 1.871087 | -0.675328 | 0.6709 | 0.6838 | 0.4215 | 1.013619 | 0.877176 |
| 2459554 | digital_ok | - | 0.00% | 0.00% | 0.00% | - | - | nan | nan | nan | nan | nan | nan | nan | nan | 0.6848 | 0.6963 | 0.4193 | nan | nan |
| 2459553 | digital_ok | - | 0.00% | 0.00% | 0.00% | - | - | nan | nan | nan | nan | nan | nan | nan | nan | 0.6829 | 0.6946 | 0.4170 | nan | nan |
| 2459552 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 2.726923 | 2.971931 | 3.638079 | 6.692545 | 0.470107 | 2.722005 | 0.442434 | 0.099110 | 0.6855 | 0.6945 | 0.4189 | 8.134972 | 7.951641 |
| 2459551 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 5.38% | 0.00% | 0.972131 | -0.584702 | 1.753696 | -2.737047 | 1.259724 | -0.740106 | 0.380284 | -0.927107 | 0.6808 | 0.6954 | 0.4122 | 1.988407 | 1.714987 |
| 2459550 | digital_ok | - | 100.00% | 100.00% | 0.00% | - | - | nan | nan | nan | nan | nan | nan | nan | nan | 0.0309 | 0.0313 | 0.0013 | nan | nan |
| 2459549 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 1.669958 | 1.954605 | 2.816128 | 4.258278 | 0.630722 | 1.602857 | 0.274700 | -1.030611 | 0.6802 | 0.6940 | 0.4216 | 2.588676 | 2.411188 |
| 2459542 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 22.32% | 0.00% | 2.334226 | 1.731882 | 3.445583 | 3.826931 | 0.545417 | 1.569019 | -0.002489 | -0.950000 | 0.7480 | 0.7516 | 0.3655 | 1.021782 | 0.816775 |
| 2459541 | digital_ok | 100.00% | 1.79% | 1.79% | 0.00% | 100.00% | 0.00% | 2.647371 | 2.105582 | 2.912713 | 5.696218 | 5.269294 | 3.924767 | 1.874364 | 1.947970 | 0.7284 | 0.7317 | 0.3535 | 0.000000 | 0.000000 |
| 2459540 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 26.79% | 8.48% | 1.275635 | 0.021820 | 1.349630 | -1.643468 | 0.620397 | 1.965236 | 0.230061 | -0.856906 | 0.7450 | 0.7460 | 0.3608 | 0.612266 | 0.599668 |
| 2459536 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 3.781058 | 3.997386 | 5.405218 | 8.536078 | 1.990690 | 9.228014 | 1.453155 | -0.508101 | 0.6985 | 0.7130 | 0.4490 | 0.000000 | 0.000000 |
| 2459535 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 98.66% | 1.34% | 1.118909 | -0.130826 | 1.381960 | -1.704223 | 0.993082 | 0.461758 | 0.989520 | 1.225883 | 0.7661 | 0.7659 | 0.3748 | 0.983784 | 0.980572 |
| 2459534 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 97.77% | 2.23% | 0.916443 | -0.108715 | 1.341109 | -1.518653 | 0.886558 | 1.136407 | 0.781497 | 2.085900 | 0.7576 | 0.7491 | 0.3815 | -0.000000 | -0.000000 |
| 2459533 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
| 2459532 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 99.44% | 0.56% | 2.360559 | 2.028106 | 3.629762 | 3.395268 | 0.033099 | 2.451213 | -0.023437 | 1.171902 | 0.6955 | 0.7134 | 0.4281 | -0.000000 | -0.000000 |
| 2459530 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 98.82% | 1.18% | 1.126633 | -0.479310 | 1.300108 | -2.174334 | 0.934683 | -0.461014 | 0.613313 | -0.003120 | 0.7108 | 0.7234 | 0.4259 | 0.842311 | 0.831415 |
| 2459527 | digital_ok | 0.00% | - | - | - | 100.00% | 0.00% | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
| 2459524 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
| 2459523 | digital_ok | 100.00% | - | - | - | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
| 2459522 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
| 2459513 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | -0.884474 | 1.486842 | -0.773101 | 1.079406 | 2.876613 | 4.158975 | 16.058948 | -0.166893 | 0.0374 | 0.0357 | 0.0031 | nan | nan |
| 2459508 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 81.58% | 0.00% | 2.196789 | 1.423239 | 2.095768 | 1.726201 | 2.216320 | 1.596833 | 1.670036 | 2.447798 | 0.9132 | 0.9527 | 0.1834 | 0.000000 | 0.000000 |
| 2459505 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 2.747121 | 1.682121 | 3.045865 | 3.516356 | 0.563626 | 0.338591 | 0.608271 | -0.854600 | 0.8885 | 0.8540 | 0.2012 | 5.314490 | 4.007841 |
| 2459503 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 3.384912 | 3.859870 | 3.229931 | 4.240978 | 5.686435 | 7.224951 | 1.887885 | -0.085898 | 0.0473 | 0.0905 | 0.0060 | 0.000000 | 0.000000 |
auto_metrics notebooks.¶html_to_display = ''
for am_html in auto_metric_htmls:
# read html into a list of lines
with open(am_html) as f:
lines = f.readlines()
# find section with this antenna's metric plots and add to html_to_display
jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
try:
section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
except ValueError:
continue
html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
for line in lines[section_start_line + 1:]:
html_to_display += line
if '<hr' in line:
break
These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD).
HTML(html_to_display)
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 189 | 15 | digital_ok | nn Temporal Variability | 1.677939 | 1.494285 | 1.358240 | 1.265601 | 0.131120 | 1.677939 | -0.006929 | 1.005054 | 0.606747 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 189 | 15 | digital_ok | nn Power | 1.384387 | 0.440364 | -0.008392 | -0.449866 | 1.384387 | -1.001894 | 0.068053 | -0.066023 | 0.612749 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 189 | 15 | digital_ok | ee Shape | 1.848311 | 1.848311 | 1.375841 | -0.323088 | 1.096857 | -0.834459 | 0.099931 | -0.007423 | -0.029936 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 189 | 15 | digital_ok | nn Temporal Variability | 2.537667 | -0.744112 | -0.326950 | -0.686894 | 0.065185 | 2.537667 | 1.393294 | -0.076113 | 2.232199 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 189 | 15 | digital_ok | nn Temporal Variability | 14.138325 | 1.620308 | 1.783302 | -0.203760 | 0.469731 | 14.138325 | -0.670923 | 0.555141 | 0.268803 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 189 | 15 | digital_ok | ee Shape | 2.444152 | 2.444152 | 1.501515 | 0.308458 | 1.766354 | -1.056578 | 0.787638 | 0.333437 | -0.279942 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 189 | 15 | digital_ok | nn Power | 2.049012 | 1.018879 | 1.420405 | 2.049012 | 0.027363 | 1.614770 | -0.033763 | 0.538192 | 0.069992 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 189 | 15 | digital_ok | nn Temporal Variability | 52.470754 | 1.098191 | 1.892444 | -0.569487 | 0.856545 | -0.591293 | 52.470754 | 0.080508 | 1.416672 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 189 | 15 | digital_ok | nn Power | 3.151068 | 1.665973 | 2.021677 | 3.151068 | 0.757719 | 2.561047 | 0.649980 | 0.205987 | 0.375163 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 189 | 15 | digital_ok | nn Temporal Variability | 1.468886 | 1.130870 | 0.183638 | 0.823825 | -0.642047 | 0.162500 | 1.468886 | 0.656410 | -0.041170 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 189 | 15 | digital_ok | ee Temporal Discontinuties | 6.936746 | 5.758159 | -0.448296 | 1.776215 | 0.112515 | 2.676073 | 2.970319 | 6.936746 | 0.572965 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 189 | 15 | digital_ok | ee Shape | 19.370099 | 19.370099 | 19.138724 | 6.212853 | 7.292196 | 4.131056 | 18.441595 | -0.365855 | -0.301419 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 189 | 15 | digital_ok | ee Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 189 | 15 | digital_ok | nn Power | 3.220029 | 1.592580 | 1.310562 | 3.220029 | 2.014561 | -0.105129 | -0.382844 | -1.031426 | 0.204510 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 189 | 15 | digital_ok | nn Temporal Variability | 24.051639 | 2.516742 | 1.903018 | 2.732220 | 1.706071 | 0.352993 | 24.051639 | 0.760740 | -0.595593 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 189 | 15 | digital_ok | ee Power | 2.258657 | 0.897285 | 1.529663 | 0.010411 | 2.258657 | 1.639939 | -0.544217 | -0.319692 | 0.146789 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 189 | 15 | digital_ok | nn Power | 3.787202 | 1.289769 | 1.466127 | 2.838289 | 3.787202 | -0.249608 | 1.891409 | 1.026462 | -0.984649 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 189 | 15 | digital_ok | ee Temporal Discontinuties | 10.432079 | -0.410514 | 1.382019 | -0.662654 | 1.740676 | 1.305245 | 1.848006 | 10.432079 | -0.329478 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 189 | 15 | digital_ok | nn Power | 3.561400 | 2.469850 | 2.224656 | 3.561400 | 2.369263 | 1.505459 | 0.755334 | -0.703372 | 0.466149 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 189 | 15 | digital_ok | nn Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 189 | 15 | digital_ok | nn Power | 2.332889 | 1.178683 | 1.391985 | 2.332889 | 1.535489 | -0.095759 | 0.756895 | 1.772451 | 2.021121 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 189 | 15 | digital_ok | nn Power | 2.187902 | 1.425609 | 1.674268 | 1.691817 | 2.187902 | 1.080878 | 1.516491 | 0.341897 | -0.676425 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 189 | 15 | digital_ok | nn Power | 4.951015 | 1.896290 | 1.671691 | 4.951015 | 3.054994 | 0.640849 | 0.348616 | -0.384509 | 0.525013 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 189 | 15 | digital_ok | nn Power | 2.462196 | 1.767193 | 1.310217 | 2.462196 | 1.659694 | 0.403493 | 0.253569 | -1.388216 | 1.223221 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 189 | 15 | digital_ok | nn Temporal Discontinuties | 22.553263 | 1.094399 | -0.896943 | 2.326796 | -0.939845 | 12.437881 | 0.913641 | 22.553263 | 12.790576 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 189 | 15 | digital_ok | ee Power | 10.753512 | 7.039771 | 4.061502 | 10.753512 | 3.844395 | 6.376013 | 4.224979 | 4.329659 | 2.112341 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 189 | 15 | digital_ok | nn Power | 3.016876 | 1.441065 | 1.072333 | 3.016876 | 2.178164 | 2.267072 | 2.108354 | 2.399831 | 2.206192 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 189 | 15 | digital_ok | nn Power | 3.319242 | 1.562574 | 1.444440 | 3.319242 | 2.593424 | 1.120239 | 0.297325 | -0.499869 | 0.254144 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 189 | 15 | digital_ok | nn Shape | 1.074879 | 1.074879 | 1.074879 | 0.972728 | 0.972728 | 0.664032 | 0.664032 | 0.146470 | 0.146470 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 189 | 15 | digital_ok | nn Temporal Variability | 3.426808 | 1.426075 | -0.280658 | 1.097801 | -2.627350 | 2.357538 | 3.426808 | 0.705949 | 0.718128 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 189 | 15 | digital_ok | nn Temporal Variability | 1.944344 | 1.650922 | 1.064608 | 1.560642 | 0.886993 | -0.779731 | 1.944344 | 0.712884 | -0.339835 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 189 | 15 | digital_ok | ee Power | 1.549735 | 0.984171 | -0.936049 | 1.549735 | -2.514602 | 0.911262 | -0.895447 | 0.712321 | -0.684886 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 189 | 15 | digital_ok | nn Temporal Variability | 5.187639 | 0.939523 | -0.409054 | 1.330409 | -1.948638 | 0.575240 | 5.187639 | 0.905793 | 0.984151 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 189 | 15 | digital_ok | ee Power | 1.527647 | 1.095876 | -0.505389 | 1.527647 | -1.949280 | 0.855659 | 0.635452 | 0.873444 | 0.495481 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 189 | 15 | digital_ok | ee Power | 1.503797 | 1.124425 | -0.672789 | 1.503797 | -2.141796 | 0.675080 | -0.018089 | 0.558401 | -0.785300 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 189 | 15 | digital_ok | nn Power | 3.618058 | 1.744789 | 1.720452 | 3.618058 | 2.277665 | 0.230745 | -0.610600 | -0.376374 | 0.189609 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 189 | 15 | digital_ok | nn Power | 3.815426 | 2.048452 | 1.751857 | 3.815426 | 2.450472 | 0.769088 | 0.635497 | -0.675328 | 1.871087 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 189 | 15 | digital_ok | nn Power | 6.692545 | 2.971931 | 2.726923 | 6.692545 | 3.638079 | 2.722005 | 0.470107 | 0.099110 | 0.442434 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 189 | 15 | digital_ok | ee Power | 1.753696 | -0.584702 | 0.972131 | -2.737047 | 1.753696 | -0.740106 | 1.259724 | -0.927107 | 0.380284 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 189 | 15 | digital_ok | nn Power | 4.258278 | 1.669958 | 1.954605 | 2.816128 | 4.258278 | 0.630722 | 1.602857 | 0.274700 | -1.030611 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 189 | 15 | digital_ok | nn Power | 3.826931 | 1.731882 | 2.334226 | 3.826931 | 3.445583 | 1.569019 | 0.545417 | -0.950000 | -0.002489 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 189 | 15 | digital_ok | nn Power | 5.696218 | 2.105582 | 2.647371 | 5.696218 | 2.912713 | 3.924767 | 5.269294 | 1.947970 | 1.874364 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 189 | 15 | digital_ok | nn Temporal Variability | 1.965236 | 0.021820 | 1.275635 | -1.643468 | 1.349630 | 1.965236 | 0.620397 | -0.856906 | 0.230061 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 189 | 15 | digital_ok | nn Temporal Variability | 9.228014 | 3.997386 | 3.781058 | 8.536078 | 5.405218 | 9.228014 | 1.990690 | -0.508101 | 1.453155 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 189 | 15 | digital_ok | ee Power | 1.381960 | 1.118909 | -0.130826 | 1.381960 | -1.704223 | 0.993082 | 0.461758 | 0.989520 | 1.225883 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 189 | 15 | digital_ok | nn Temporal Discontinuties | 2.085900 | -0.108715 | 0.916443 | -1.518653 | 1.341109 | 1.136407 | 0.886558 | 2.085900 | 0.781497 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 189 | 15 | digital_ok | ee Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 189 | 15 | digital_ok | ee Power | 3.629762 | 2.360559 | 2.028106 | 3.629762 | 3.395268 | 0.033099 | 2.451213 | -0.023437 | 1.171902 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 189 | 15 | digital_ok | ee Power | 1.300108 | -0.479310 | 1.126633 | -2.174334 | 1.300108 | -0.461014 | 0.934683 | -0.003120 | 0.613313 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 189 | 15 | digital_ok | nn Shape | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 189 | 15 | digital_ok | ee Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 189 | 15 | digital_ok | ee Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 189 | 15 | digital_ok | nn Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 189 | 15 | digital_ok | ee Temporal Discontinuties | 16.058948 | 1.486842 | -0.884474 | 1.079406 | -0.773101 | 4.158975 | 2.876613 | -0.166893 | 16.058948 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 189 | 15 | digital_ok | nn Temporal Discontinuties | 2.447798 | 1.423239 | 2.196789 | 1.726201 | 2.095768 | 1.596833 | 2.216320 | 2.447798 | 1.670036 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 189 | 15 | digital_ok | ee Temporal Discontinuties | 5.151487 | 3.007502 | 2.494488 | 3.839878 | 3.534534 | 4.240196 | 4.027774 | 5.151487 | -0.971500 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 189 | 15 | digital_ok | nn Power | 3.516356 | 1.682121 | 2.747121 | 3.516356 | 3.045865 | 0.338591 | 0.563626 | -0.854600 | 0.608271 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 189 | 15 | digital_ok | nn Temporal Variability | 7.224951 | 3.384912 | 3.859870 | 3.229931 | 4.240978 | 5.686435 | 7.224951 | 1.887885 | -0.085898 |